On modeling approaches for the predictive simulation of living systms dymamics

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Ivan Mura

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ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA


This research paper describes two main approaches that are currently available for modelling and simulating the evolution of dynamic living systems, namely the continuous-deterministic one, which is rendered by systems of ordinary differential equations and the discrete-stochastic one, which bases on the Stochastic simulation algorithm proposed by Gil/espíe in 1976. The aim of this comparison is to provide the necessary information to support the selection of a modelling approach, focusing on a set of verifiable criteria. For this reason, we review the rationale approach of modelling, proposing a modelling sample  for a single living system and discussing the main advantages and drawbacks of each approach.


 

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